Manager, Quantitative Systems Pharmacology

About the role

Moderna is hiring a Manager, Quantitative Systems Pharmacology in Melbourne to join its Clinical and Quantitative Pharmacology organization. As an individual contributor, you will develop and apply mechanistic quantitative systems pharmacology (QSP) models across the company's therapeutic portfolio and mRNA platform, combining QSP, PK/PD and PBPK approaches with emerging digital and generative AI tools.

Key responsibilities

• Develop and apply QSP, mechanistic PK/PD and PBPK models to characterize drug disposition, activity and dose-exposure-response relationships.
• Use quantitative modeling and simulation to support candidate selection, preclinical-to-clinical translation, first-in-human dose selection, dose escalation and regimen optimization.
• Integrate in vitro, in vivo, clinical and literature data to build, validate and calibrate models, and perform sensitivity and uncertainty analysis.
• Collaborate with scientists and project teams across Pharmacology, Toxicology, Translational Medicine, Research and Clinical Development.
• Interpret experimental and clinical data and communicate modeling strategies, assumptions and results to project teams and scientific leadership.
• Contribute to regulatory documents and stay current with advances in QSP, systems biology, pharmacometrics and computational biology.

Required profile

• PhD in pharmaceutical sciences, biomedical engineering, chemical engineering, systems biology, computational biology, applied mathematics or a related quantitative discipline.
• Experience developing and applying mechanistic mathematical models to biological or pharmacological systems.
• 1-4+ years of experience in quantitative pharmacology (QSP, PK/PD, PBPK or other mechanistic modeling).
• Strong knowledge of pharmacology, pharmacokinetics, drug development and quantitative analysis.
• Ability to formulate biological and pharmacological questions into quantitative modeling strategies.

Required skills

• Proficiency with quantitative modeling and scientific computing software such as MATLAB/SimBiology, R, Python or similar platforms.
• Experience integrating and analyzing preclinical and/or clinical pharmacology data.
• Strong scientific communication and collaboration skills.

What we offer

• A 70% in-office work model.
• Healthcare, fitness, mindfulness and mental health support, and family building benefits.
• Paid time off, including vacation, bank holidays, volunteer days, sabbatical and a discretionary year-end shutdown.
• Savings and investment options, plus location-specific perks.